TY - GEN
T1 - Fuzzy-Based Power Management and Power Quality Improvement in Microgrid using Battery Energy Storage System
AU - Rajabinezhad, Mohamad Amin
AU - Baayeh, Arman Ghaderi
AU - Guerrero, Josep M.
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/12/16
Y1 - 2020/12/16
N2 - In traditional low voltage networks, energy storage systems are mainly used by consumers to protect against short-term power outages. With the advent of microgrids and the expansion of distributed generation resources and also, the development of energy storage system technology, the role of energy storages are increasing. By the proposed control system, the battery energy storage system (BESS) participates in the microgrid energy management and also plays a role in voltage regulation and compensating for current harmonic, unbalance, and reactive power due to the presence of nonlinear loads. In this paper, fuzzy logic-based energy management is proposed, which considers the battery state of charge (SOC), matching between load and wind turbine unit power curves, and the cost of purchased or injected electricity into the grid. In the proposed control system, the limitation of inverter in reactive power injection and the battery's protection from over-charge and over-discharge is also considered. To validate the application of the proposed control system, simulations are performed in MATLAB/Simulink software. The simulation results confirm and prove the efficiency of the proposed control system.
AB - In traditional low voltage networks, energy storage systems are mainly used by consumers to protect against short-term power outages. With the advent of microgrids and the expansion of distributed generation resources and also, the development of energy storage system technology, the role of energy storages are increasing. By the proposed control system, the battery energy storage system (BESS) participates in the microgrid energy management and also plays a role in voltage regulation and compensating for current harmonic, unbalance, and reactive power due to the presence of nonlinear loads. In this paper, fuzzy logic-based energy management is proposed, which considers the battery state of charge (SOC), matching between load and wind turbine unit power curves, and the cost of purchased or injected electricity into the grid. In the proposed control system, the limitation of inverter in reactive power injection and the battery's protection from over-charge and over-discharge is also considered. To validate the application of the proposed control system, simulations are performed in MATLAB/Simulink software. The simulation results confirm and prove the efficiency of the proposed control system.
KW - Energy management
KW - Energy storage system
KW - Microgrid
KW - Power quality
KW - Renewable energy resources
UR - http://www.scopus.com/inward/record.url?scp=85101021489&partnerID=8YFLogxK
U2 - 10.1109/SGC52076.2020.9335758
DO - 10.1109/SGC52076.2020.9335758
M3 - Article in proceeding
AN - SCOPUS:85101021489
T3 - Smart Grid Conference (SGC)
BT - 2020 10th Smart Grid Conference, SGC 2020
PB - IEEE
T2 - 10th Smart Grid Conference, SGC 2020
Y2 - 16 December 2020 through 17 December 2020
ER -